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Amedeo, that was one month, so the question is fair. I did run the long history afterwards on the six older setups across the same four indices, 11.4 years and about 66,500 trades. The worst single day in all of it was minus 17.4 R, so that August day was about as bad as a day got in eleven years. The overall limit was the harder constraint. Three quiet years from 2015 to 2017 produced a drawdown of 449 R without one terrible day in it, just a slow grind, and to keep the whole period inside 10 percent the raw book without any scaling would have needed about 0.07 percent per trade. So for me the worst day sets the daily cap and the grind sets the size. I also trust that long run less than the month, because my old backtest engine later turned out to book profits even on random data, which makes its drawdowns look smaller than they were. I never measured the correlation on red days separately, but the red days I checked were red almost everywhere at once, which fits what you say.
Interesting question. From what I've seen while building and testing EAs, most "rule" failures aren't caused by a bad strategy. They're caused by position sizing that doesn't account for the worst case.